The mathematical model given here attempts to improve precision in the diagnosis of stress, anxiety, and hypertension using Intuitionistic robust fuzzy matrix (IRFM). In practice, the imprecise nature of medical documentation and the uncertainty of patient information frequently do not provide the appropriate level of confidence in the diagnosis. To that purpose, a novel method based on distinct fuzzy matrices and fuzzy relations is devised, which makes use of the capabilities of fuzzy logic in describing, understanding, and exploiting facts and information that are unclear and lack clarity. With the assistance of 30 doctors, a medical knowledge base is created during the procedure. The model obtained 95.55%t accuracy in the diagnosis, demonstrating its utility.